EXTRETEXPRET · Extreme Returns and Expected Returns in International Stock Markets
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2011-09-01 → 2013-08-31
- Финансиране от ЕС
- 50 000 €
- Участници
- 1
- Схема
- MC-CIG
Линиите свързват координатора с партньорите.
Накратко на български
Връзката между очакваните печалби и резките промени в цените на акциите в над 50 държави се анализира чрез примери с големи загуби или неочаквано високи приходи. Това помага за по-доброто управление на финансовите рискове и по-точното определяне на цените на ценните книжа.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Extreme Returns and Expected Returns in International Stock Markets
The fundamental objective of the project is investigating the relation between expected equity market returns and extreme equity market returns in an international context in order to create new implications with respect to risk management, portfolio allocation and security pricing. Extreme returns are important because they capture dimensions of equity market dynamics that are ignored by traditional asset pricing models. Highly negative returns are related with the concept of downside risk whereas highly positive returns are a means to capture the preferences of investors for positively skewed return distributions. In order to achieve the project’s objective, both firm-level and market-level data for equity returns and potential determinants of stock market movements have been collected from more than 50 countries. State-of-the-art econometric techniques have been used to analyze whether extreme returns are determinants of stock market returns. The first part of the project investigates the relation between downside risk and expected returns on the aggregate stock market in an international context. Nonparametric and parametric value at risk are used as measures of downside risk to determine the existence of a risk-return tradeoff. For emerging markets, fixed-effects panel data regressions provide evidence for a significantly positive relationship between monthly expected market returns and downside risk. This result is robust after controlling for aggregate dividend yield and price-to-fundamental ratios. The relationship between expected returns and downside risk is weaker for developed markets and vanishes when control variables are included in the specification. The second part of project investigates whether equity indices of 24 emerging and 28 developed markets compensate their investors equally after taking risk into account and examines the predictive power of reward-to-risk ratios for expected market returns. Again, special emphasis is placed on downside risk by calculating both nonparametric and parametric value at risk. When all 52 markets are ranked based on their alternative reward-to-risk ratios, almost all of the countries in the top quartile are emerging markets whereas almost all of the countries in the bottom quartile are developed markets. The pooled means of the reward-to-risk ratios are significantly higher for emerging markets compared to those of developed markets. The analysis also reveals that there is a significantly positive relation between various reward-to-risk metrics and expected market returns. Both portfolio analysis and cross-sectional regressions are utilized to examine this relation. The importance of downside risk for equity returns especially in emerging markets and the fact that emerging markets have been historically more generous in rewarding investors after adjusting for risk has implications regarding the investment behaviors of financial market participants.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
This proposal is related to the relationship between extreme returns and expected returns for international stock markets. For the first part, I will focus on the minimum daily return on the aggregate market over various historical time windows. The negative of this variable can be interpreted as a measure of Value at Risk and a significantly positive relation between this measure and expected market returns will provide evidence for the importance of downside risk in determining index returns. Fixed-effects panel regressions will be used to test for the proposed linkage controlling for a set of relevant variables. For the second part, I will focus on the maximum daily return for individual stocks over various historical time windows. The under-diversification of investment portfolios and the preference of investors for lottery-like stocks suggest that there should be a significant relationship between historical maximum returns and expected returns at the firm-level. Finding a significantly negative relation will also provide support for behavioral theories related to investor psychology. In this part, univariate and bivariate portfolio analysis as well as firm-level cross-sectional regressions will be employed. The main data source for this project is DataStream. The proposed analyses will be carried out separately for 52 financial markets with an eye on the differences between developed and emerging countries. The results will have potential implications related to international risk management and portfolio allocation, especially in the aftermath of the financial crisis of 2008.""
Оригинален текст от CORDIS (на английски).
Участници
- SABANCI UNIVERSITESI · IstanbulКоординаторТурция
Връзки
Данни: CORDIS, © Европейски съюз
